I am a Data Consultant with over six years of experience across multiple domains such as Retail, Banking & Finance, Energy & Gas, Insurance, e-commerce and Manufacturing in Data Science, Business Intelligence, Data analytics, Data Engineering, Process Improvement, and Project Management. I graduated from University of Cincinnati with a Masters in Information System and Data Analytics. During my time here, I gained expertise in data exploration, data visualization, and implementation of analytical tools for effective analysis of data. I am passionate about turning data into strategic decisions by discovering hidden trends and building recommendations for data-driven decision-making. Technical Skills: • Programming: R, Python, SQL, SAS, COBOL, JCL • Databases: AWS Redshift, Oracle, SQL Server, PostgreSQL, Google BigQuery • Statistical: Linear Regression, Classification (Logistic Regression, CART, Random Forest, Decision Tree), Clustering (Hierarchical, k-Means), Customer Lifetime Value, A/B Testing, Time Series Analysis, Market Basket Analysis • Data Visualization: Tableau, Power BI, MS Excel, Google Analytics • Tools & Frameworks: AWS (Glue ETL, SageMaker, Lambda), Jira, Azure DevOps, TFS, API